419 search results - page 48 / 84 » Using Bayesian Networks for Cleansing Trauma Data |
ICIC
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
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CLADE
2008
IEEE
15 years 4 months ago
2008
IEEE
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
BMCBI
2007
14 years 9 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
IWANN
2009
Springer
15 years 4 months ago
2009
Springer
SNP-microarrays are able to measure simultaneously both copy number and genotype at several single nucleotide polymorphism positions. Combining the two data, it is possible to bett...
ACL
2010
14 years 7 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...